S.-W. Lee

862 citations
23 papers · 671 · h-index 12

Impact in

Papers in

S.-W. Lee

23 papers receiving 655 citations

Peers

S.-W. Lee
Comparison fields: 5 of 74
  • Human-Computer Interaction 153
  • Biomedical Engineering 325
  • Polymers and Plastics 85
  • Developmental and Educational Psychology 68
  • Computer Vision and Pattern Recognition 110
Replace Jong-Seok Kim with:
Jong-Seok Kim South Korea
Natasha A. D. Yamamoto Brazil
Yuheng Wu China
Vito Errico Italy
Steven Nagels Belgium
Senam Tamakloe United States
Jiajun Li China
Changcheng Wu China
Zhenyu He China
S.-W. Lee relative to Jong-Seok Kim South Korea Jong-Seok Kim's profile →
Citations per field
00.5×11.3×
Jong-Seok Kim · 1×
Citations per year

Countries citing papers authored by S.-W. Lee

Since Specialization
Citations

This map shows the geographic impact of S.-W. Lee's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by S.-W. Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S.-W. Lee more than expected).

Fields of papers citing papers by S.-W. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S.-W. Lee. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by S.-W. Lee. The network helps show where S.-W. Lee may publish in the future.

Co-authors

The 25 scholars most cited alongside S.-W. Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with S.-W. Lee Line = papers co-authored together S.-W. Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009165
2 201577
3 201765
4 200648
5 201742
6 201742
7 201640
8 201840
9 200129
10 201224
11 201318
12 200712
13 201611
14 201811
15 201610
16 20149
17 20188
18 20137
19 20187
20 20133

About S.-W. Lee

S.-W. Lee is a scholar working on Biomedical Engineering, Materials Chemistry, Electrical and Electronic Engineering, Cognitive Neuroscience and Atomic and Molecular Physics, and Optics, having authored 23 papers that have together received 671 indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (7 papers), Nanomaterials and Printing Technologies (4 papers), Conducting polymers and applications (3 papers), Quantum Dots Synthesis And Properties (3 papers), ZnO doping and properties (3 papers), Visual perception and processing mechanisms (3 papers), Color perception and design (2 papers) and Carbon and Quantum Dots Applications (2 papers). The work is most often cited by research in Human-Computer Interaction (153 citations), Biomedical Engineering (325 citations), Polymers and Plastics (85 citations), Developmental and Educational Psychology (68 citations) and Computer Vision and Pattern Recognition (110 citations). S.-W. Lee has collaborated with scholars based in South Korea, United States and Türkiye. Frequent co-authors include Soong Ju Oh, Woo Seok Lee, Hyungmok Joh, Min Su Kang, Woong Kim, Haegeun Chung, In-Pyo Hong, Kwanyoung Ko, Y. Park and H.-Y. Kim. Their work appears in journals such as Journal of Vision, ACS Applied Materials & Interfaces, Small, APL Materials and Physica C Superconductivity.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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